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Category: robotics/AI – Page 2

AI chips could get faster with 30-nanometer embedded memory that cuts data shuttling

When we watch videos or ask AI questions, enormous amounts of data are constantly moving inside computers. In particular, data centers that support AI must process and transfer vast amounts of data at very high speeds. However, current computers have a fundamental limitation: the place where calculations are performed and the place where data is stored are physically separated.

Because of this, data has to travel back and forth many times within a chip. This repeated movement takes time and consumes energy, creating a bottleneck that limits both speed and efficiency.

Skydio secures USAFCENT contract for drone security in Middle East

The US Air Forces Central (USAFCENT), a component of US Central Command (CENTCOM), has placed an order worth over $9m with US-based drone manufacturer Skydio for the supply of Skydio Dock and X10 systems.

The drones and infrastructure will be used to secure US airbases in the Middle East as part of one of the largest deployments of autonomous drone security systems by the US Air Force (USAF) for international base protection.

Nearly 4,000 US industrial devices exposed to Iranian cyberattacks

The attack surface targeted by Iranian-linked hackers in cyberattacks against U.S. critical infrastructure networks includes thousands of Internet-exposed programmable logic controllers (PLCs) manufactured by Rockwell Automation.

According to a joint advisory issued by multiple U.S. federal agencies on Tuesday, Iranian state-backed hacking groups have been targeting Rockwell Automation/Allen-Bradley PLC devices since March 2026, causing operational disruptions and financial losses.

“Iranian-affiliated APT targeting campaigns against U.S. organizations have recently escalated, likely in response to hostilities between Iran, and the United States and Israel,” the authoring agencies warned.

We are already gene editing humans

You just haven’t noticed.

George Church, Harvard geneticist and Human Genome Project pioneer, explains why CRISPR wasn’t the real breakthrough, how multiplex gene editing unlocked organ transplants and de-extinction, and why aging will likely require rewriting many genes at once.

Hosted by Mgoes → https://twitter.com/m_goes_distance
Brought to you by SuperHuman Fund → https://superhuman.fund/

0:00 — Gene Editing Mammals → Humans
8:36 — Germline vs Somatic
14:56 — Modified Humans Are Already Here
18:50 — Enhancing Healthy Humans
25:00 — Aging Therapies vs Cognitive Enhancement
30:20 — Embryo Selection
38:10 — Is US Losing To UAE?
42:33 — Biotech Failures
49:31 — Next Dire Wolf Moment
54:21 — AI x Science
1:02:07 — Synthetizing Entire Genomes.

The Accelerate Bio Podcast explores the future of humanity in the age of Artificial Intelligence. Subscribe for deep-dive conversations with founders, scientists, and investors shaping AI, biotechnology, and human progress.

This episode discusses George Church, gene editing, CRISPR, human enhancement, longevity, aging, embryo selection, synthetic biology, multiplex editing, AI biotech.

Continue reading “We are already gene editing humans” | >

The Power and Responsibility of Sam Altman

This week, Laurie Segall sits down exclusively with OpenAI CEO Sam Altman for his first interview since shutting down the Disney-partnered Sora and making the Department of War deal. From power to parenthood, tech addiction and AI acceleration, Laurie interviews Altman about AI’s human impact and the weight of OpenAI’s influence. In a wide ranging interview, Altman describes a near-term future where automated AI researchers could compress a decade of scientific discovery into a single year, fundamentally reshaping society and an era of AI abundance, where solo-founders can build billion-dollar companies with AI agents. But that innovation sits against a complex backdrop with fundamental human questions at stake. Altman addresses concerns over AI-related job loss and reveals what he thinks are AI-proof jobs. Altman, who is also a father, discusses parenting in the age of AI, when he plans to introduce his own product to his child, and how he believes AI could benefit kids in the long run. This is a conversation with Sam Altman you’re not going to hear anywhere else, where the tech titan answers some fundamental questions about control, innovation, consequences, and the world we’ll leave behind for our children.

If you have thoughts or questions for Laurie about this episode or anything Mostly Human, email us at [email protected]

Engineered Living Systems With Self‐Organizing Neural Networks: From Anatomy to Behavior and Gene Expression

Ectodermal tissue excised from Xenopus embryos self-organizes into a three-dimensional mucociliary organoid. Here, we generate a neural variant, termed neurobot, by implanting neural precursor cells…

3 Billionaires Are (Quietly) Deciding Our Future

Max Tegmark explains why the race to superintelligence is not inevitable, why most people don’t want it, and what we can do about it. He covers the three superpowers of AI, why tool AI can solve our biggest problems without replacing us, and the case for regulating AI like we regulate drugs and airplanes.

00:00 The Race.
00:25 Superintelligence.
01:48 The cage.
03:03 Three superpowers.
05:16 Sandwiches.
11:14 Consciousness.
13:04 Life 3.

Produced by:
https://zeino.tv/

Predicting cardiovascular events from routine mammograms using machine learning

Background Cardiovascular risk is underassessed in women. Many women undergo screening mammography in midlife when the risk of cardiovascular disease rises. Mammographic features such as breast arterial calcification and tissue density are associated with cardiovascular risk. We developed and tested a deep learning algorithm for cardiovascular risk prediction based on routine mammography images.

Methods Lifepool is a cohort of women with at least one screening mammogram linked to hospitalisation and death databases. A deep learning model based on DeepSurv architecture was developed to predict major cardiovascular events from mammography images. Model performance was compared against standard risk prediction models using the concordance index, comparative to the Harrells C-statistic.

Results There were 49 196 women included, with a median follow-up of 8.8 years (IQR 7.7–10.6), among whom 3,392 experienced a first major cardiovascular event. The DeepSurv model using mammography features and participant age had a concordance index of 0.72 (95% CI 0.71 to 0.73), with similar performance to modern models containing age and clinical variables including the New Zealand ‘PREDICT’ tool and the American Heart Association ‘PREVENT’ equations.

The scientist using AI to hunt for antibiotics just about everywhere

When he was just a teenager trying to decide what to do with his life, César de la Fuente compiled a list of the world’s biggest problems. He ranked them inversely by how much money governments were spending to solve them. Antimicrobial resistance topped the list.

Twenty years on, the problem has not gone away. If anything, it’s gotten worse. Infections caused by bacteria, fungi, and viruses that have evolved ways to evade treatments are now associated with more than 4 million deaths per year, and a recent analysis, published in the Lancet, predicts that number could surge past 8 million by 2050. In a July 2025 essay in Physical Review Letters, de la Fuente, now a bioengineer and computational biologist, and synthetic biologist James Collins warned of a looming “postantibiotic” era in which infections from drug-resistant strains of common bacteria like Escherichia coli or Staphylococcus aureus, which can often still be treated by our current arsenal of medications, become fatal. “The antibiotic discovery pipeline remains perilously thin,” they wrote, “impeded by high development costs, lengthy timelines, and low returns on investment.”

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